They have the money...
The ones who walk away from Omelas
Dunno how pasting a link works but here it is:
What does a simplistic moral set piece about the abhorrence of sacrificing the good of one for the good of many have to do with (check notes) Facebook? Even as vague hand-wavey criticism, wouldn't Facebook would be the inverse?
Re: "actually you should just ponder why you are a simpleton who doesn't get it, given other people derived value from how it relates to Facebook": There arent people here running around praising it. The comment 4 up was, and still is downvoted well below 0, there's barely anyone reading all the way down here. Only one other person even bothered replying.
I don't think me mentioning this is useful or fair, but I don't know how to drive home how little contribution there is from a condescending "think harder, didn't you notice the crowd loves it and understands how it's just like Facebook"
Unless they think to hire new people.
I've played with Bark quite extensively a few month ago and I'm on the fence regarding that model: when it works, it's the best, but I found it to be pretty useless for most use-case I want to use TTS for because of the high rate of bad or weird output.
I'm pretty happy with XTTv2 though. It's reliable and output quality is still pretty good.
- 3d scene reconstruction from a few images: https://dust3r.europe.naverlabs.com/
- gaussian avatars: https://shenhanqian.github.io/gaussian-avatars
- relightable gaussian codec: https://shunsukesaito.github.io/rgca/
- track anything: https://co-tracker.github.io/ https://omnimotion.github.io/
- segment anything: https://github.com/facebookresearch/segment-anything
- good human pose estimate models: (Yolov8, Google's mediapipe models)
- realistic TTS: https://huggingface.co/coqui/XTTS-v2, bark TTS (hit or miss)
- open great STT (mostly whisper based)
- machine translation (ex: seamlessm4t from meta)
It's crazy to see how much is coming out of Meta's R&D alone.